REMI AI: Nutrition Companion App for Clinic Patients

Patients leaving clinic checkups with a list of medical recommendations and lab results often had no clear, practical way to turn that information into daily meals, leading to poor adherence and high drop-off before their next checkup.

REMI AI: Nutrition Companion App for Clinic Patients
The challenge

Patients leaving clinic checkups with a list of medical recommendations and lab results often had no clear, practical way to turn that information into daily meals, leading to poor adherence and high drop-off before their next checkup.

Context & problem statement

Built for FunMedDev, a Belgium-based wellness clinic, to support patients between medical checkups and strengthen their engagement with prescribed nutrition programs. More information


  • Patients struggled to translate lab results and doctor recommendations into daily meal choices
  • Nutrition plans lacked structured follow-up, causing high drop-off before the next checkup
  • The clinic had limited staff time to support patients between visits
Strategy & Solution

Design an AI system that securely reads each patient's official clinic documents, generates a plan tailored to their profile, and gives clinic staff a simple way to confirm accuracy before anything reaches the patient.

REMI reads a patient's genetic and medical test results and turns them into a tailored weekly meal and supplement plan, so guidance is grounded in each person's actual health profile instead of generic advice.

Stack

Technologies used

  • Lovable
  • React
  • Supabase
  • Python/FastAPI
  • Neo4j
  • Brevo
REMI AI's weekly programme: one day's breakfast, lunch, snack and dinner with recipes and supplement doses, plus a shopping-list button
Service

The service behind this project

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